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Senior Consultant - Data Engineer

Insight
Melbourne, AUS
Full-time
Senior · 5+ years experience
Hybrid
Discovered 1 weeks ago
Azure DevOps

Full Job Posting

Location

  • Melbourne, Australia (Hybrid)

Insight at a Glance

14,000+ engaged teammates globally

#15 Best Workplace™ in Technology

#22 Best Workplaces™ in Australia

#34 in IT on Fortune's World's Best Workplaces™ list

Recognised as a Great Place to Work in 13 countries

$8.25 billion in revenue

Received 35+ industry and partner awards in the past year

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.

About the Role

Leadership: The Team Lead for this role is Ollie Flavel, based in Sydney. He fosters a collaborative, delivery-focused environment where technical excellence and client success go hand-in-hand.

As a Senior Consultant - Data Engineer , you will be a trusted advisor to our clients, designing and delivering modern enterprise data platforms that drive analytics, AI and informed decision-making. We will count on you to translate complex business and technical requirements into secure, scalable solutions using Microsoft Fabric, Azure data services and related technologies. Along the way, you will get to:

Design and deliver modern data platforms using Microsoft Fabric, Azure data services and Databricks, including Lakehouse, Warehouse and Medallion Architecture solutions

Facilitate discovery sessions and workshops with clients to understand business objectives and translate requirements into practical data architecture and engineering designs

Build reliable batch and near real-time data pipelines using SQL, Python, PySpark and Azure Data Factory, while implementing secure engineering practices and data governance

Contribute to technical leadership, quality assurance, reusable intellectual property and mentoring within the practice

Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

What We're Looking For

Minimum five years of relevant data engineering experience, including delivery of Microsoft-based data platform solutions, with demonstrated experience working directly with clients in consulting or complex enterprise environments

Strong SQL development, data modelling and ETL/ELT expertise, with practical experience designing and delivering enterprise data solutions using Microsoft Fabric, Azure data services and Databricks

Excellent communication skills with the ability to engage both technical and non-technical audiences, combined with strong analytical and problem-solving capabilities

Experience with source control, CI/CD practices using Azure DevOps, understanding of data security and governance principles, and the ability to estimate, plan and deliver work with limited supervision

What You Can Expect

We're legendary for taking care of you, your family and for helping you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:

Dedicated career pathways and development

Peer recognition and the opportunity to join our President's Club

Volunteer Leave and Work Life Balance days

Work-From-Anywhere Program for up to 4 weeks per year

Employee Stock Purchase Plan · Corporate discounts

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

At Insight, we celebrate diversity of skills and experience so even if you don't feel like your skills are a perfect match - we still want to hear from you!

Requirements

  • Design and deliver modern data platforms using Microsoft Fabric, Azure data services and Databricks, including Lakehouse, Warehouse and Medallion Architecture solutions
  • Facilitate discovery sessions and workshops with clients to understand business objectives and translate requirements into practical data architecture and engineering designs
  • Build reliable batch and near real-time data pipelines using SQL, Python, PySpark and Azure Data Factory, while implementing secure engineering practices and data governance
  • Contribute to technical leadership, quality assurance, reusable intellectual property and mentoring within the practice
  • Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
  • Minimum five years of relevant data engineering experience, including delivery of Microsoft-based data platform solutions, with demonstrated experience working directly with clients in consulting or complex enterprise environments
  • Strong SQL development, data modelling and ETL/ELT expertise, with practical experience designing and delivering enterprise data solutions using Microsoft Fabric, Azure data services and Databricks
  • Excellent communication skills with the ability to engage both technical and non-technical audiences, combined with strong analytical and problem-solving capabilities
  • Experience with source control, CI/CD practices using Azure DevOps, understanding of data security and governance principles, and the ability to estimate, plan and deliver work with limited supervision

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